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引用次数: 0

摘要

本文描述了正式背景,并建议对Stover等人(1996)开发的模糊分类器进行一些增强,称为连续推理网络(CINET),作为原型智能控制器(PIC)的感知器模块的一部分。这些增强包括:为CINET模糊分类器提供数学基础,将其视为模糊器和模糊聚合器的级联;通过结合随机性度量(称为模糊度)和模糊性度量(称为隶属度)来扩展模糊分类器和模糊聚合器的功能;形式化并简化用于模糊聚合的连接词。
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The CINET fuzzy classifier: formal background and enhancements
This paper describes the formal background and suggests some enhancements for the fuzzy classifier, developed by Stover et al. (1996), called the continuous inferencing network (CINET), as part of the perceptor module of the prototype intelligent controller (PIC). These enhancements include, providing a mathematical foundation to the CINET fuzzy classifier seen as the cascade of a fuzzifier and a fuzzy-aggregator, extending the functionality of both the fuzzifier and the fuzzy-aggregator by incorporating a measure for randomness (called the ambiguity degree) besides a measure for vagueness (called the membership degree), and formalizing as well as simplifying the connectives used for fuzzy-aggregation.
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